Top Senior Level Data Engineer Jobs in Washington DC,

The role involves architecting, building, and maintaining reliable data pipelines, developing data applications in Python and SQL, ensuring data quality, and optimizing software engineering techniques while collaborating with IT and business teams.

The Legal Technology Consulting Manager will lead client engagements in eDiscovery, overseeing project delivery and mentoring team members. Responsibilities include assessing eDiscovery processes, implementing legal hold and data management systems, and enhancing service delivery through process improvements and client relationship building.

The Senior Data Engineer will manage the inbounding and validation of healthcare data, design and maintain scalable data pipelines, enforce data quality standards, and mentor team members. They will collaborate with teams to provide data solutions while ensuring performance optimization in a dynamic environment.

As a Senior Data Engineer, you will collaborate with clients to design and maintain advanced data platforms, develop real-time data processing systems, and create documentation and training materials. Your role includes building ETL pipelines, data warehouses, and RESTful microservices primarily using cloud services while ensuring effective communication of complex concepts to technical and non-technical stakeholders.

As a Data Architect, you will lead and expand the Data Platform initiatives, overseeing the development and maintenance of the Enterprise Data Platform, including a Serverless Data Lake and Cloud Data Warehouse while managing a high-performing data team.

The VP, Enterprise Data Sales at Predactiv will lead the adoption of DaaS solutions within the Advertising & Marketing ecosystem. Responsibilities include developing sales strategies for complex enterprise prospects, enhancing customer engagement with the Predactiv Data Platform, preparing technical presentations, and identifying upsell opportunities to drive revenue growth.

As a Senior Machine Learning Engineer, you will design and engineer ML systems for various industries, promote technical thought leadership within the data science team, and work across different ML approaches. Responsibilities include collaborating with stakeholders, addressing technical challenges, and deploying production ML solutions in a cloud environment.